Applied AI Scientist - Train & Optimize 1B+ Models

FDE Times; Abu Dhabi; Presencial; AED 551.000 - 845.000; Jornada completa

Descripción de la vacante

Cerebras Systems is seeking an Applied AI Scientist in the FieldML team to develop and customize large language models and related DL systems for customer problems using the Cerebras Wafer-Scale Engine. You will move beyond papers to implement, train, and scale models for real-world applications, collaborating with customers to design training recipes and deliver measurable value.

The role spans building bespoke models, fine-tuning LLMs for verticals, and contributing to internal R&D with strong

Formación

• Education: Master’s or PhD in CS, ML, or related fields.
• Experience training or fine-tuning large models (1B+ parameters).
• Proficiency in Python and PyTorch with distributed pipelines.
• Ability to communicate complex results to diverse audiences.

Responsabilidades

• Discover customer use cases and scope projects.
• Architect end-to-end training recipes for custom models.
• Design adaptation strategies including SFT and RLHF/DPO.
• Scale training across Cerebras clusters.
• Lead technical customer engagements.

Conocimientos

Large-scale training

Transformer models

MoEs architectures

Python & PyTorch

Strong communication

Educación

Master’s or PhD in CS/ML

Herramientas

PyTorch

Distributed training

Python

Descripción del empleo

Cerebras Systems is seeking an Applied AI Scientist in the FieldML team to develop and customize large language models and related DL systems for customer problems using the Cerebras Wafer-Scale Engine. You will move beyond papers to implement, train, and scale models for real-world applications, collaborating with customers to design training recipes and deliver measurable value.

The role spans building bespoke models, fine-tuning LLMs for verticals, and contributing to internal R&D with strong